of Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy ADVANCED TECHNIQUES FOR SYNTHETIC APERTURE RADAR IMAGE RECONSTRUCTION By Duc H. Vu May 2012 Chair: Jian Li Major: Electrical and Computer Engineering This dissertation discusses advanced aspects of Synthetic Aperture Radar (SAR). SAR is ...

Satellite-borne or aircraft-borne synthetic aperture radar (SAR) is useful for high resolution imaging analysis for terrain surface monitoring or surveillance, particularly in optically harsh environments. For surveillance application, there are various approaches for automatic target recognition (ATR) of SAR images aiming at monitoring unidentified ships or aircraft. In addition, various types...

New synthetic aperture radar (SAR) sensors on satellites like TerrsSAR-X allow flexible mapping with a large coverage or a high resolution of about one meter. Leading-edge airborne SAR sensors provide spatial resolutions on the order of a decimetre. In such data, many features of urban objects can be identified, which were beyond the scope of radar remote sensing before. But, SAR images are oft...

Speckle noise (salt and pepper) is inherent to synthetic aperture radar (SAR), which causes a usual noise-like granular aspect and complicates the image classification. In SAR image analysis, the spatial information might be a particular benefit for denoising and mapping classes characterized by a statistical distribution of the pixel intensities from a complex and heterogeneous spectral respon...

Introduction: Motion compensation (MoCo) is one of the key steps to gather well-focused images for airborne synthetic aperture radar (SAR). For SAR systems operating at low frequencies, e.g. the VHF/ UHF band, wide-beam processing is needed in MoCo to deal with the angular dependent motion error. Therefore, a sub-aperture MoCo algorithm was proposed [1] to compensate for the motion error across...

Polarimetric Synthetic Aperture Radar (SAR) Interferometry (Pol-InSAR) is a radar remote sensing technique, based on the coherent combination of radar polarimetry (Pol-SAR) and SAR interferometry (InSAR) which is substantially more sensitive to structural parameters of forest volume scatterers (e.g. forest) than conventional interferometry or polarimetry alone. However, temporal decorrelation i...

Synthetic Aperture Radar (SAR) signal processing poses a significant challenge due to its very large computation and data storage requirements. This paper presents the computational requirements of a typical high resolution satellite SAR data processing scenario. A classification of approaches to partitioning the SAR problem for parallel processing is given. The suitabilityof Networks of Workst...

Passive Global Navigation Satellite System (GNSS)-based Synthetic Aperture Radar (SAR), known as GNSS-SAR, is a new passive radar imaging system. However, compared with conventional SAR, range resolution of GNSS-SAR is significantly lower. To improve range resolution of GNSS-SAR is an interested topic for investigation. In this paper, a novel range compression algorithm for enhancing range reso...

Ground moving target indication (GMTI) is an important function of many airborne or spaceborne synthetic aperture radar (SAR) systems. The detection of ground moving targets based on SAR images, called SAR-GMTI, is a popular way. It is difficult for a conventional single-channel SAR system to achieve good GMTI performance, because of the difficulty in separating the ground moving targets from t...

ork is described whose long-term goal is the extraction and analysis of fine-scale wind fields from synthetic aperture radar (SAR) images of the ocean surface. Results are based on a field experiment in which a SAR image was taken nearly simultaneously with in situ aircraft-based turbulence and radar altimeter measurements. These results show a direct correlation between SAR “streaks” and atmos...